ArticleFrontiers in oncology2022
Ultrasound-Based Radiomics Can Classify the Etiology of Cervical Lymphadenopathy: A Multi-Center Retrospective Study.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis.BMC cancer · 2025Pooled it
- Fusing Radiomics and Ultrasonic Features: A Superior Nomogram for Diagnosing Cervical Tuberculous Lymphadenitis.Infection and drug resistance · 2026Article
- Ultrafast ultrasound localization microscopy for differential diagnosis of reactive hyperplasia and metastatic cervical lymph nodes: a pilot study.Quantitative imaging in medicine and surgery · 2025Article
- Differentiating benign and malignant superficial lymph nodes using super-resolution contrast enhanced ultrasound - a pilot study.BMC medical imaging · 2025Article
- Quantitative vascular feature-based multimodality prediction model for multi-origin malignant cervical lymphadenopathy.EClinicalMedicine · 2025Article
- Quantitative and qualitative analysis of contrast-enhanced ultrasound for differentiating benign and malignant superficial enlarged lymph nodes.Quantitative imaging in medicine and surgery · 2024Article
- Using T2-weighted magnetic resonance imaging-derived radiomics to classify cervical lymphadenopathy in children.Pediatric radiology · 2024Article
- Diagnosis of cervical lymphoma using a YOLO-v7-based model with transfer learning.Scientific reports · 2024Article
- Classification of superficial suspected lymph nodes: non-invasive radiomic model based on multiphase contrast-enhanced ultrasound for therapeutic options of lymphadenopathy.Quantitative imaging in medicine and surgery · 2024Article
- Development and validation of nomograms by radiomic features on ultrasound imaging for predicting overall survival in patients with primary nodal diffuse large B-cell lymphoma.Frontiers in oncology · 2022Article
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Authors and funding
18 authors at 4 institutions in 1 country.
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Abstract
Medical diagnostic imaging is essential for the differential diagnosis of cervical lymphadenopathy. Here we develop an ultrasound radiomics method for accurately differentiating cervical lymph node tuberculosis (LNTB), cervical lymphoma, reactive lymph node hyperplasia, and metastatic lymph nodes especially in the multi-operator, cross-machine, multicenter context. The inter-observer and intra-observer consistency of radiomics parameters from the region of interest were 0.8245 and 0.9228, respectively. The radiomics model showed good and repeatable diagnostic performance for multiple classification diagnosis of cervical lymphadenopathy, especially in LNTB (area under the curve, AUC: 0.673, 0.662, and 0.626) and cervical lymphoma (AUC: 0.623, 0.644, and 0.602) in the whole set, training set, and test set, respectively. However, the diagnostic performance of lymphadenopathy among skilled radiologists was varied (Kappa coefficient: 0.108, *
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